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SOFTCO
2004
Springer
15 years 3 months ago
Designing Neural Networks Using Gene Expression Programming
Abstract. An artificial neural network with all its elements is a rather complex structure, not easily constructed and/or trained to perform a particular task. Consequently, severa...
Cândida Ferreira
DAM
2007
91views more  DAM 2007»
14 years 9 months ago
Integer linear programming approaches for non-unique probe selection
In addition to their prevalent use for analyzing gene expression, DNA microarrays are an efficient tool for biological, medical, and industrial applications because of their abil...
Gunnar W. Klau, Sven Rahmann, Alexander Schliep, M...
GECCO
2007
Springer
163views Optimization» more  GECCO 2007»
15 years 4 months ago
Interactive evolution of XUL user interfaces
We attack the problem of user fatigue by using an interactive genetic algorithm to evolve user interfaces in the XUL interface definition language. The interactive genetic algori...
Juan C. Quiroz, Sushil J. Louis, Sergiu M. Dascalu
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
15 years 4 months ago
Distribution replacement: how survival of the worst can out perform survival of the fittest
A new family of "Distribution Replacement” operators for use in steady state genetic algorithms is presented. Distribution replacement enforces the members of the populatio...
Howard Tripp, Phil Palmer
CRV
2006
IEEE
137views Robotics» more  CRV 2006»
15 years 3 months ago
Evolving a Vision-Based Line-Following Robot Controller
This paper presents an original framework for evolving a vision-based mobile robot controller using genetic programming. This framework is built on the Open BEAGLE framework for t...
Jean-François Dupuis, Marc Parizeau